AI-Assisted Game Debugging with Cicero

Tiago MacHado, Daniel Gopstein, Andy Nealen, Oded Nov, Julian Togelius

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We present Cicero, a mixed-initiative application for prototyping two-dimensional sprite-based games across different genres such as shooters, puzzles, and action games. Cicero provides a host of features which can offer assistance in different stages of the game development process. Noteworthy features include AI agents for gameplay simulation, a game mechanics recommender system, a playtrace aggregator, heatmap-based game analysis, a sequential replay mechanism, and a query system that allows searching for particular interaction patterns. In order to evaluate the efficacy and usefulness of the different features of Cicero, we conducted a user study in which we compared how users perform in game debugging tasks with different kinds of assistance.

    Original languageEnglish (US)
    Title of host publication2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509060177
    DOIs
    StatePublished - Sep 28 2018
    Event2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Rio de Janeiro, Brazil
    Duration: Jul 8 2018Jul 13 2018

    Publication series

    Name2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

    Other

    Other2018 IEEE Congress on Evolutionary Computation, CEC 2018
    CountryBrazil
    CityRio de Janeiro
    Period7/8/187/13/18

    Keywords

    • AI for Games
    • AI-Assisted Game Design Tools
    • Game Debugging
    • Game Design
    • Game Prototyping

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Control and Optimization

    Fingerprint Dive into the research topics of 'AI-Assisted Game Debugging with Cicero'. Together they form a unique fingerprint.

    Cite this